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About the Data Science & AI Course

The Data Science & AI Program by Skill Up Partner is a hands-on, beginner-to-advanced learning journey designed for students, freshers, and professionals aiming to break into the future-focused world of data. You’ll start from Python basics and progress through data wrangling, machine learning models, deep learning foundations, and real-world AI applications. Whether your goal is to become a data analyst, machine learning engineer, or AI developer, this course provides the complete skill set to succeed—plus, you’ll build a job-ready portfolio hosted on GitHub.

Modules Breakdown

Module 1

Foundations of Data Science & Python

  • What is Data Science & AI?
  • Data Science vs AI vs ML
  • Python basics: variables, loops, conditions
  • NumPy, Pandas, Matplotlib for analysis & cleaning

Statistics & Data Visualization

  • Descriptive statistics (mean, median, mode)
  • Histograms, box plots, distributions
  • Intro to Seaborn and advanced Matplotlib plotting
  • Data storytelling techniques

Machine Learning Basics

  • ML concepts: supervised vs unsupervised
  • Algorithms: Linear Regression, K-Means
  • Simple prediction project (e.g., house prices)
  • Scikit-learn pipeline introduction

Applied ML & Feature Engineering

  • Handling missing values & duplicates
  • Encoding, feature scaling
  • Decision Trees, SVM, Regression models
  • Model evaluation: accuracy, precision, recall, F1

Deep Learning & NLP

  • Introduction to deep learning & neural networks
  • Build simple ANN using TensorFlow/Keras
  • NLP basics: tokenization, TF-IDF, sentiment analysis
  • Mini project using text data

Real-World Projects & Career Prep

  • End-to-end AI mini projects (e.g., churn prediction)
  • Case studies with real datasets (Kaggle-style)
  • GitHub portfolio creation
  • Career roles: analyst, data scientist, ML engineer

Why Choose Skill Up Partner?

  • ISO Certified & IAF-Accredited Career Training Provider

  • Industry-Focused Curriculum

  • Mentorship by MNC & Industry Experts

  • Hands-On Project-Based Training

  • 100% Online & Flexible Learning

  • Internship with Certification + Project Experience

  • Designed for Freshers & Working Professionals

  • Taught in Tamil + English

  • Resume & Interview Preparation Support

  • Access to Live Projects for Portfolio Building

Tools & Technologies You’ll Master

Programming & Data Libraries

  • Python 3.x
  • NumPy, Pandas
  • Matplotlib, Seaborn

Machine Learning Frameworks

  • Scikit-learn
  • XGBoost (intro)
  • Regression & classification models

Deep Learning & AI Tools

  • TensorFlow
  • Keras
  • Neural Network (ANN) building blocks

NLP & Text Processing

  • Natural Language Toolkit (NLTK)
  • TF-IDF, tokenization
  • Sentiment analysis

Visualization & Storytelling Tools

  • Matplotlib
  • Seaborn
  • Jupyter Notebook & Google Colab

Project & Career Tools

  • Git & GitHub for version control
  • Kaggle for real-world datasets
  • Resume & portfolio optimization

Our plans for everyone Data Science & AI Course

Beginner

â‚ą 1,499

â‚ą 2,999.00 Save 50%

🔥 Limited time offer

10–15 days live courses.
Recommended For:
– 1st/2nd year students (CSE, IT, B.Sc, BCA)
– Beginners with zero coding background
– Non-tech learners curious about Data Science
– Students looking for internship-oriented learning

Intermediate

â‚ą 3,499

â‚ą 6,999.00 Save 50%

🔥 Limited time offer

30 days live courses
Recommended For:
– Final-year students (B.Tech, B.Sc, MCA, M.Sc, MBA Analytics)
– Fresh graduates and job seekers
– Python learners ready to go deeper into ML
– Freelancers or professionals transitioning to analytics

Advanced

Flexible

always :)

Long term one to one
Recommended For:
– Learners building AI career portfolios
– Freshers targeting data scientist roles in MNCs
– Final-year students doing major projects
– Professionals upskilling into AI and ML

Our Mentors from

various MNCs and industries have rich professional experience

Woman Holding Cup Standing in the Kitchen

Why Choose the Data Science & AI Course?

The future is data-driven—and our Data Science & AI course at Skill Up Partner is designed to help you become part of it.

From beginner-friendly Python programming to advanced machine learning, deep learning, and real-world AI projects, this course offers a complete roadmap to becoming industry-ready. Whether you’re a student, fresher, or a working professional, you’ll gain hands-on experience with the tools and techniques used by top data scientists and AI engineers.

With real-time mentorship, live projects, and GitHub portfolio support, you’ll not only learn how to build models—you’ll also learn how to build your career.

Key Highlights:

  • Beginner to advanced curriculum (Python, ML, DL, NLP)
  • Real-time projects with datasets and GitHub portfolio creation
  • 100% online with flexible access to classes
  • Resume building & mock interview support
  • Tools covered: Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Google Colab

Who Should Join?

  • Final-year students (B.E/B.Tech, B.Sc, BCA, MCA, MBA Analytics)
  • Freshers looking for jobs in AI, ML, or Data Science
  • Working professionals wanting to switch to a future-proof tech domain
  • Python learners wanting to explore AI applications
  • Freelancers looking to expand services in analytics
  • Anyone passionate about solving problems using data & AI

Future Scope of Data Science & AI

With data now called “the new oil,” the future of AI and data science is incredibly bright. Industries like healthcare, finance, e-commerce, manufacturing, and education rely heavily on data to make intelligent decisions.

By 2030, AI is expected to contribute over $15 trillion to the global economy. Learning data science and AI today sets you up for a high-paying, high-demand career in nearly every industry.

Key Growth Areas in Data Science & AI

  • Predictive Analytics & Machine Learning
    – Used in forecasting, customer behavior analysis, and fraud detection

  • Natural Language Processing (NLP)
    – Applications in chatbots, sentiment analysis, virtual assistants, and text mining

  • Computer Vision
    – Powers facial recognition, object detection, autonomous vehicles, and medical imaging

  • Healthcare AI
    – Used in diagnosis assistance, patient monitoring, drug discovery, and predictive health analytics

  • Finance & FinTech AI
    – Applied in credit scoring, risk modeling, fraud prevention, and algorithmic trading

  • E-Commerce & Recommendation Systems
    – Drives personalized recommendations, pricing strategies, and inventory optimization

  • Business Intelligence & Automation
    – Enhances reporting, dashboarding, and automates decision-making with real-time data

  • Deep Learning & Neural Networks
    – Enables complex model building for audio, video, and language data

  • Generative AI & Prompt Engineering
    – Builds content, images, and code using AI tools like ChatGPT, DALL·E, and Midjourney

  • Big Data & Cloud Integration
    – Scalable AI solutions using platforms like AWS, Azure, Google Cloud, Hadoop, and Spark